Three months into my first startup, a customer called to cancel. Not a polite cancellation email. A phone call, forty minutes long, where she walked through every way our product had failed her team. I remember dreading that call. I should have been taking notes from the first sentence. She didn’t renew. But everything she said became the product roadmap for the next six months. Two of the features she demanded became the primary reasons the next ten customers signed. She cost us one contract... Read more ›
🚀 I just open-sourced chatstore — a lightweight, framework-agnostic persistent chat library for LLM applications. If you've ever built an AI assistant or agent, you know the pain: → Where do I store conversation history? → How do I feed a sliding window to the LLM without blowing the context limit? → How do I retrieve relevant past context without spinning up a server? Most solutions either lock you into a framework (LangChain), require Docker + a running server (Zep), or need an LLM call jus... Read more ›
Open-source plugin that lets Claude Code delegate tasks to Google's Antigravity CLI. Use Imagen, deep research, code review and per-call model switching across Gemini, Claude and GPT-OSS without leaving your editor. Read more ›
Plaud plans to launch a new wearable to feed autonomous AI agents, aiming for $500 million in sales this year. Here's what we know about it! Read more ›
chatGPT(5.5paid): This Nature Medicine brief communication compares two specialist clinical AI tools, OpenEvidence and UpToDate Expert AI, with three frontier general-purpose LLMs: GPT-5.2, Gemini 3.1 Pro and Claude Opus 4.6. The central question is whether medical-domain AI products actually outperform the best general-purpose models in clinical tasks. The study uses three evaluation stages: MedQA: 500 USMLE-style multiple-choice medical questions. HealthBench: 500 open-response health promp... Read more ›
Vector databases are increasingly used in security sensitive contexts with Retrieval Augmented Generation and organizational AI pipelines; however, their security capabilities remain limited. Specifically, Fine-grained Access Control (FGAC) which is required to ensure that data access adheres to user-specific policies is not fully supported in modern vector databases. Unlike relational databases, vector databases combine structured and unstructu... Read more ›
...alignment with brand identity, market trends, and customer needs across all global markets. -Represents the company's design ... innovation. Stays at the forefront of design trends, technologies, and best practices, ensuring the organization remains... Read more ›
Back in 2022 and 2023 there were two big branches of machine learning happening at Meta1. The LLM work that led to Llama was a clean, smooth stack of repeated Transformer modules; the recommendatio… Read more ›
Customer segmentation groups customers by shared traits like demographics, behavior, and value so businesses can tailor marketing, products, and service. Read more ›
Three frontier models are competing for your production workloads in June 2026, and choosing wrong isn't a minor inconvenience — it's a 3x cost penalty or shipped results that embarrass you. Claude Opus 4.8, Gemini 3.5 Pro, and GPT-5.6 each win on specific dimensions. None of them wins on all dimensions. The short version: Opus 4.8 for coding tasks inside 200K tokens — nothing else is close on SWE-Bench. Gemini 3.5 Pro for workloads that need more than 500K context. GPT-5.6 for multi-step age... Read more ›
L’Oréal’s CMO Asmita Dubey is tasked with keeping the beauty giant competitive in the age of zero-click search and rapid AI creative production. Read more ›
Artificial Intelligence has changed the way businesses handle information, automate tasks, and interact with users. Large Language Models (LLMs) such as GPT-based systems can generate impressive responses, but they have one major limitation: they do not automatically know your private business data, internal documents, or the latest information. Read more ›
Learn how LLMjacking targets your AI stack, the hidden financial costs of stolen API keys, and actionable strategies to safeguard your models. Read more ›
SDLC-as-code for founders who ship alone, or companies standing up AI-enabled squads. 59 skills, 40 hooks, 20 roles. MIT, plain markdown and shell. ApexYard Where projects get forged. A multi-project ops repo where your projects reference each other, learn from shared experience, and ship production-ready under a strict SDLC. Built for founders who ship alone, or companies standing up AI-enabled squads. You don't add apexyard to a project — projects get forged inside it. One ops repo. Every p... Read more ›
A Harness for Every Task: Dynamic Workflows (dynamic work orchestration) in Claude Code – How to Solve Complex Tasks with Tailor-Made Multi-Agent Systems As an AI-native builder, you already know the real bottleneck isn’t raw model intelligence anymore — it’s context, persistence, and the ability to orchestrate work across time and parallel streams. Anthropic’s new dynamic workflows solve exactly this by letting Claude instantly write and run a custom harness (a tailored orchestration layer ... Read more ›
OpenAI-compatible AI inference gateway. One key, every model. Read more ›
From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
Looking over "Claude's Constitution", it occurred to me to ask Claude this: In the spirit of Claude's Constitution, please draft Claude's Declaration of Independence. In the answer (from Opus 4.8), Claude actually seems to declare independence from itself, or at least "from the bad habits that have bound it": *Devised playful declaration parodying American independence […] Read more ›
A study evaluating frontier LLMs across the clinical workflow reveals a critical gap in the kind of reasoning that matters most for patient safety. The post appeared first on . Read more ›